Evidence map›Paper›PMID 41471605›Full record

ArticleSensors (Basel, Switzerland)2025

Compensation Strategies in Post-Stroke Individuals: Insights from Upper Body Kinematics Analysis Based on Inertial Sensors.

Carrie-Louise Thouant, Elena Sofia Cocco, Giovanni Morone, Carlotta Maria Manzia, Francesco Infarinato, Paola Romano, Matteo Cioeta, Michela Goffredo, Marco Franceschini, Sanaz Pournajaf

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Carrie-Louise ThouantNeuromotor Rehabilitation and Rehabilitation Robotics, IRCCS San Raffaele Roma, 00163 Rome, Italy.ORCID 0009-0005-4419-0541
Elena Sofia CoccoNeuromotor Rehabilitation and Rehabilitation Robotics, IRCCS San Raffaele Roma, 00163 Rome, Italy.ORCID 0009-0008-5825-5707
Giovanni MoroneSan Raffaele Institute of Sulmona, Viale dell'Agricoltura, 67039 Sulmona, Italy.ORCID 0000-0003-3602-4197
Carlotta Maria ManziaNeuromotor Rehabilitation and Rehabilitation Robotics, IRCCS San Raffaele Roma, 00163 Rome, Italy.
Francesco InfarinatoRehabilitation Bioengineering Laboratory, IRCCS San Raffaele Roma, 00163 Rome, Italy.ORCID 0000-0002-5570-8490
Paola RomanoRehabilitation Bioengineering Laboratory, IRCCS San Raffaele Roma, 00163 Rome, Italy.ORCID 0000-0003-2441-135X
Matteo CioetaDepartment of Medicine and Health Science "Vincenzo Tiberio", University of Molise, 86100 Campobasso, Italy.ORCID 0000-0003-3861-6858
Michela GoffredoNeuromotor Rehabilitation and Rehabilitation Robotics, IRCCS San Raffaele Roma, 00163 Rome, Italy.ORCID 0000-0002-2651-8479
Marco FranceschiniNeuromotor Rehabilitation and Rehabilitation Robotics, IRCCS San Raffaele Roma, 00163 Rome, Italy.
Sanaz PournajafNeuromotor Rehabilitation and Rehabilitation Robotics, IRCCS San Raffaele Roma, 00163 Rome, Italy.ORCID 0000-0001-8749-2236

Funding

Italian Ministry of Health Ricerca Corrente
6 · The paper itself

Abstract

backgroundOne of the main goals of rehabilitation after stroke is the restoration of motor function. Understanding movement patterns and compensatory strategies is essential to optimize therapy. This study analyzes upper limb kinematics during the Box and Block Test (BBT) to identify and quantify typical post-stroke compensation strategies.

methodsThirty-one sub-acute stroke participants and thirty-one healthy controls were included. Kinematic data were collected using a 7-IMU system. Joint angles were analyzed with MATLAB R2023a, and 3D trajectories were reconstructed from calibrated quaternions and anthropometric data. Group differences were assessed with the Mann-Whitney test. Compensation strategies were quantified in percentage terms relative to healthy subjects.

resultsSignificant intergroup differences were observed in mean joint angles and ranges of motion. On the paretic side, participants overused the wrist and shoulder to compensate for reduced elbow and trunk activity. Similar overuse was also observed on the unaffected side. Quantification showed that 83.9% and 80.6% compensate, respectively, with wrist and trunk and 67.7% with the shoulder.

conclusionsUsing IMUs during the BBT, this study identified specific compensation strategies that may hinder recovery. It also contributed to developing a quantification scale, supporting more personalized rehabilitation and improved quality of life.

Indexed as

StrokeStroke RehabilitationUpper ExtremityAdultAgedBiomechanical PhenomenaFemaleHumansMaleMiddle AgedMovementRange of Motion, Articularcompensation strategiesinertial measurement unitsstrokeupper limb

Identifiers

PMID41471605
PMCPMC12736794

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.